Bozeman Science
AP Bio - Final Review
Paul Andersen answers over 500 questions from 39 states and 20 countries. Good luck on the AP Biology exam. Chapters View all AP Biology 0:05 Table of Contents 0:56 Test Statistics 4:51 Test Strategies 10:54 Labs 15:06 Cell Communication...
Bozeman Science
Statistics for Science
Paul Andersen introduces science for the science classroom. He starts with a brief description of Big Data and why it is important that we prepare future scientists to deal intelligently with large amounts of data. He explains the...
Crash Course
Z-Scores and Percentiles - Crash Course Statistics
Today we’re going to talk about how we compare things that aren’t exactly the same - or aren’t measured in the same way. For example, if you wanted to know if a 1200 on the SAT is better than the 25 on the ACT. For this, we need to...
Crash Course
T-Tests A Matched Pair Made in Heaven - Crash Course Statistics
Today we're going to walk through a couple of statistical approaches to answer the question: "is coffee from the local cafe, Caf-fiend, better than that other cafe, The Blend Den?" We'll build a two sample t-test which will tell us how...
Bozeman Science
Student's t-test
In this video Paul Andersen explains how to run the student's t-test on a set of data. He starts by explaining conceptually how a t-value can be used to determine the statistical difference between two samples. He then shows you how to...
Crash Course
How P-Values Help Us Test Hypotheses - Crash Course Statistics
Today we're going to begin our three-part unit on p-values. In this episode we'll talk about Null Hypothesis Significance Testing (or NHST) which is a framework for comparing two sets of information. In NHST we assume that there is no...
Crash Course
Measures of Spread - Crash Course Statistics
Today, we're looking at measures of spread, or dispersion, which we use to understand how well medians and means represent the data, and how reliable our conclusions are. They can help understand test scores, income inequality, spot...
Bozeman Science
Standard Deviation
In this video Paul Andersen explains the importance of standard deviation. He starts with a discussion of normal distribution and how the standard deviation measures the average distance from the mean, or the "spread" of data. He then...
Crash Course
Confidence Intervals - Crash Course Statistics
Today we’re going to talk about confidence intervals. Confidence intervals allow us to quantify our uncertainty, by allowing us to define a range of values for our predictions and assigning a likelihood that something falls within that...
Bozeman Science
Standard Error
Paul Andersen shows you how to calculate the standard error of a data set. He starts by explaining the purpose of standard error in representing the precision of the data. The standard error is based on the standard deviation and the...
Crash Course
The Normal Distribution - Crash Course Statistics
Today is the day we finally talk about the normal distribution! The normal distribution is incredibly important in statistics because distributions of means are normally distributed even if populations aren't. We'll get into why this is...
Crash Course
The Shape of Data Distributions - Crash Course Statistics
When collecting data to make observations about the world it usually just isn't possible to collect ALL THE DATA. So instead of asking every single person about student loan debt for instance we take a sample of the population, and then...
Crash Course
Test Statistics - Crash Course Statistics
Test statistics allow us to quantify how close things are to our expectations or theories. Instead of going on our gut feelings, they allow us to add a little mathematical rigor when asking the question: “Is this random… or real?” Today,...
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Central Limit Theorem - Solution
New ReviewThis video provides an elaborate solution to the practice exercise of the central limit theorem concept.
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Root Mean Square Error
New ReviewIn this lecture, you will learn another important metric to determine the quality of our regression using the root mean square error method.
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Important p-z Pairs
New ReviewWhile performing the hypothesis testing and general statistics, you will learn more about the p-z combination and the normal distribution.
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Proportion Testing
New ReviewIn this lesson, we will work through all the steps of hypothesis testing with an example of proportion testing.
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - t-test and t-distribution
New ReviewIn this video, you will learn more about the student's t-test and t-distribution in detail.
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Solution: Hypothesis Test
New ReviewThis video provides the solution and explanation to the hypothesis testing practice exercise we worked on above.
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Performing the Hypothesis Test
New ReviewThis video elaborates on performing actual hypothesis testing through a demonstration.
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Confidence Intervals and Margin of Error
New ReviewThis lesson will explore a confidence interval while estimating the significance level and determining an acceptable margin of error.
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - What Is a Hypothesis?
New ReviewIn this video, you will learn more about influential statistics and what we do in hypothesis testing.
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Poisson Distribution
New ReviewWe will look at another important distribution named after the French mathematician, Simeon Denis Poisson.
Curated Video
Statistics & Mathematics for Data Science and Data Analytics - Central Limit Theorem - Challenge
New ReviewThis is a hands-on challenge to understand better the central limit theorem concept with a practical example.